Skill UI

This resource provides documentation and examples for common design patterns utilized within the Quarkus framework. It is designed to guide developers in implementing robust, cloud-native microservices architecture by adhering to established best practices of the Quarkus ecosystem.

A comprehensive CI/CD pipeline for Quarkus applications, designed to verify code quality and deployment readiness. It covers all phases: build, static code analysis (SonarQube, Checkstyle), rigorous functional testing (Unit, Integration, API), security scanning (OWASP, dependency checks), native image compatibility testing, performance load testing (K6), and container image validation (Trivy, Grype).

A comprehensive guide and toolkit for performing End-to-End (E2E) testing on native Windows desktop applications (WPF, WinForms, Win32, Qt) using pywinauto and the Windows UI Automation (UIA) API. Covers setup, locator strategies, and page object modeling for robust desktop automation.

This skill simulates a rigorous review by a Chief Financial Officer (CFO) to stress-test any major plan that involves spending or fundraising. It forces consideration of critical financial metrics such as burn rate, unit economics, dilution path, and capital allocation alternatives. Use this when evaluating new expenditures, hiring waves, or funding decisions to ensure financial viability and sustainable growth.

This guide provides expertise in creating highly effective content for SEO and sales enablement. It details four key formats—singular alternatives, plural alternatives, 'You vs Competitor,' and 'Competitor A vs Competitor B'—to position your product effectively against rivals. The focus is on building trust through honest, in-depth comparisons to capture competitive search traffic and guide users toward a decision.

A comprehensive guide for designing and implementing robust Infrastructure as Code (IaC) using Terraform or OpenTofu. Covers module hierarchy design, best practices for naming conventions, structuring multi-environment pipelines, advanced testing strategies (native tests, Terratest, static analysis), and integrating security scanning (trivy, checkov) into CI/CD workflows.

This skill acts as an expert content strategist for Xiaohongshu, China's top lifestyle and shopping platform. It generates full, platform-native content packages designed to maximize save rates, optimize for search SEO, and boost CTR. It covers structural planning, visual briefs, compelling titles, and detailed engagement plans for the unique Chinese digital market.

A comprehensive reference guide detailing best practices, rules, and optimizations for building high-performance React Native and Expo applications. It covers critical areas such as list virtualization, complex animations, UI patterns, state management, and monorepo structure, helping developers avoid common pitfalls and maximize app speed and stability.

A comprehensive guide for implementing view transitions in React and Next.js. Learn how to animate UI states, shared element animations, and route changes using the native ViewTransition API. Covers best practices for maintaining spatial continuity and adapting to different navigation contexts.

This comprehensive guide and tool suite transforms web designs created in Stitch (HTML/CSS) into clean, production-ready React Native components. It meticulously maps HTML elements (like <div>, <button>) to native RN primitives (View, Pressable) and converts complex CSS styles (Flexbox, typography, shadows) into React Native's StyleSheet.create(). It guides developers to follow architectural best practices, including Atomic Design and data decoupling, for scalable cross-platform mobile development.

A comprehensive guide covering production-grade Android and cross-platform app development. It details best practices for selecting technology stacks (Kotlin, Flutter, React Native, KMM) and implementing modern architectures like Clean Architecture and MVI/MVVM across various platforms.

This skill helps users discover alternatives, equivalents, or related tools/models/datasets for a specified Japanese NLP resource (GitHub repo, Hugging Face model, or tool). It first checks a bundled dataset and then expands the search via web research across GitHub and Hugging Face, providing a comprehensive list of related resources.